XEMStrategy {blockcluster} | R Documentation |

## An EM strategy to obtain a good optimum.

### Description

In Co-clustering, there could be many local optimal where the algorithm may
get struck resulting in sub-optimum results. Hence we applied a strategy
called XEM strategy to run the EM algorithm. The various steps are defined
as follows:

### Details

- Step-1, "xem" step:
Do several runs of: "initialization followed by
short run of algorithm (few iterations/high tolerance)". This parameter is
named as "nbxem" in `coclusterStrategy`

function. Default value
is 5. We call this step as xem step.

- Step-2, "XEM" step:
Select the best result of step 1 and make long run
of Algorithm(high iterations/low tolerance).We call this step as XEM step.

- Step-3
Repeat step 1 and 2 several times and select the best result.
The number of repetitions can be modified via parameter "nbtry" of
`coclusterStrategy`

function. Default value is 2.

[Package

*blockcluster* version 4.5.1

Index]